Creating the most secure user authentication by combining breakthrough technologies including Hash and AI encryption algorithms.
Face Int is at the forefront of developing cutting-edge face recognition and liveness software, integrating advanced hash algorithms to ensure robust user privacy protection. Our primary objective is to provide a secure online authentication solution while maintaining the utmost security of biometric data. With an unwavering commitment, we deliver comprehensive, user-friendly, and highly secure solutions to our valued clients and their customers.
Most data security breaches result from internal threats.
Passwords are forgotten, and not comfortable to use.
Users are concerned about saving their personal biometric data on remote servers.
Credentials stolen in 2017 alone (Shape Security)
Password-driven cart abandonment rate (Visa)
Of IT leaders re-use a single password (Sailpoint)
The global facial recognition market size was valued at $3.83 billion in 2020, and is projected to reach $16.74 billion by 2030, growing at a CAGR of 16.0% from 2021 to 2030. Facial recognition is a way of recognizing a human face through technology. A facial detection system uses biometrics to map facial features from a photograph or video
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Frequently Asked Questions - Answers to Your Queries and Concerns
A facial recognition system needs to save the biometric information during enrollment in order to identify the user during login, the problem is that the biometric information is sensitive and problematic information to maintain in terms of privacy regulations such as GDPR and CCPA Our uniqueness is that we turn the biometric information into a hash value, so that on the one hand it is emptied of biometric content and on the other hand it still allows validation in the system.
A hash function is a one-way operation algorithm that converts a given input of any size to a unique output of a fixed length of bits. one-way operation algorithm – Means there is no way to go back and get the original value. This is why systems that store validation data such as passwords usually turn this information into hash, because in this way there is no way to recover the password. However, when you try to turn the biometric information into hash, you encounter a problem because the biometric information even for the same user will always be a little different And any little change in the given input will generate a completely different hash value. Our hash algorithm can also handle this type of information, and turn it into hash (unreproducible, but good for validation)
The target audience is diverse, our solutions can be used for office access control systems, as well as providing protection and privacy layers for countries' biometric databases. Another solution we developed is in the field of digital signatures, with our solution it is possible to create a digital signature on documents from the user's face, in a secure way that preserves the users' privacy. It should be noted that the size of the digital signature market is estimated at 6 billion dollars, and should grow to about 26 billion dollars by 2027.